Eleyne L. Phillips Mercedes D. Erdey Guy R. Cochrane 2013 GeoTiff Data Series DS 781 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ds781 https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html Nadine E. Golden 2013 database Data Series DS 781 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ds781 This part of DS 781 presents data for the seafloor-character map of the Offshore of Carpinteria map area, California. The raster data file is included in "SeafloorCharacter_OffshoreCarpinteria.zip," which is accessible from https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Greene, H.G., Endris, C.A., Seitz, G.G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L.M., Draut, A.E., and Hart, P.E. (S.Y. Johnson and S.A. Cochran, eds.), 2013, California State Waters Map Series—Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, 42 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/sim3261. This raster-format seafloor-character map shows five substrate classes of Offshore of Carpinteria map area. The five substrate classes mapped in this area have been colored to indicate which of the following California Marine Life Protection Act depth zones and slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), and Slope Class 1, 0 degrees to 5 degrees (flat). Depth Zone 1 (intertidal), Depth Zones 4 and 5 (greater than 100 m), and Slopes Classes 2 to 4, greater than 5 degrees (sloping to vertical) are not present in this map area. The map is created using a supervised classification method described by Cochrane (2008). References Cited: California Department of Fish and Game, 2008, California Marine Life Protection Act master plan for marine protected areas--Revised draft: California Department of Fish and Game, accessed April 5 2011, at http://www.dfg.ca.gov/mlpa/masterplan.asp. Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Sappington, J.M., Longshore, K.M., and Thompson, D.B., 2007, Quantifying landscape ruggedness for animal habitat analysis--A case study using bighorn sheep in the Mojave Desert: Journal of Wildlife Management, v. 71, p. 1,419-1,426. To expand geologic mapping to the seafloor within the California's State Waters, to update coastal geologic mapping, and to contribute to a uniform regional geologic database, which can be used geographic information systems. Additionally, to provide a geologic map for the public and geoscience community to aid in assessments and mitigation of geologic hazards in the Carpinteria coastal region and to provide sufficient geologic information for land-use and land-management decisions both onshore and offshore. These data are intended for science researchers, students, policy makers, and the general public. These data can be used with geographic information systems or other software. This information is not intended for navigational purposes. Additional information about the USGS field activities from which some of these data were derived is available online at: https://cmgds.marine.usgs.gov/fan_info.php?fan=Z206SC https://cmgds.marine.usgs.gov/fan_info.php?fan=S105SC https://cmgds.marine.usgs.gov/fan_info.php?fan=S1C08SC https://cmgds.marine.usgs.gov/fan_info.php?fan=Z206SC Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology. 2005 2008 ground condition Complete none planned -119.624582 -119.426462 34.419275 34.288012 USGS Metadata Identifier USGS:3b90a6e0-fef1-4556-9c1a-fc9c88c560df Global Change Master Directory (GCMD) Bathymetry Seafloor Topography Acoustic Reflectivity ISO 19115 Topic Category geoscientificInformation environment oceans imageryBaseMapsEarthCover Data Categories for Marine Planning distributions substrate bathymetry and elevation physical habitats and geomorphology USGS Thesaurus sonar methods image mosaics interferometric sonar marine geophysics sea-floor characteristics sea-floor acoustic reflectivity bathymetry measurement bathymetry videos underwater photography ecosystems maps and atlases geospatial datasets None U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP Pacific Coastal and Marine Science Center PCMSC Coastal and Marine Ecological Classification Standard (CMECS) Marine Nearshore Subtidal Marine Offshore Subtidal Transform Continental Margin Bight Borderland Continental/Island Shelf Rock Substrate Unconsolidated Mineral Substrate Geographic Names Information System (GNIS) Carpinteria Summerland Pacific Ocean California Coastal and Marine Ecological Classification Standard (CMECS) Southern California Bight Ecoregion Coastal and Marine Ecological Classification Standard (CMECS) Substrate None USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey and California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB) as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes. U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/images/SeafloorCharacter_OffshoreCarpinteria.jpg Seafloor character of the Offshore of Carpinteria map area. JPEG Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 10.0 Samuel Y. Johnson Peter Dartnell Guy R. Cochrane Nadine E. Golden Eleyne L. Phillips Andrew C. Ritchie Rikk G. Kvitek H. Gary Greene Charles A. Endris Gordon G. Seitz Ray W. Sliter Mercedes D. Erdey Florence L. Wong Carlos I. Gutierrez Lisa M. Krigsman Amy E. Draut Patrick E. Hart 2013 map Scientific Investigations Map SIM 3261 Reston, VA U.S. Geological Survey https://doi.org/10.3133/sim3261 Pixel resolution 2 m. Classification was done on the basis of training samples delineated by interpreter. The classification was performed using mathematical algorithms then hand-edited by the interpreter to remove noise. Total coverage for the survey area is 100 percent. Survey area is defined by coverage of both the multibeam bathymetry and backscatter datasets. Positional information reflects the position of the camera and was collected using a still photo camera, WAAS-enabled GSP unit, recording at between 1 to 2 nm. DGPS (WAAS) accuracy for position is less than 3 meters. (From Garmin GPSMAP 76C/76CS Specifications, M01-10108-00, Rev0304, https://buy.garmin.com/shop/store/assets/pdfs/specs/gpsmap76c_76cs_spec.pdf). Rikk G. Kvitek Peter Dartnell Eleyne L. Phillips Guy R. Cochrane 2013 raster digital data Data Series DS 781 Reston, VA U.S. Geological Survey See metadata ("Bathymetry_OffshoreCarpinteria_metadata.txt") for source data and postprocessing/reprocessing information. https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html digital file of gridded bathymetry data (ArcInfo GRID) 2006 2009 ground condition bathymetry Gridded bathymetry data (2-meter resolution). Peter Dartnell Rikk G. Kvitek Eleyne L. Phillips Guy R. Cochrane 2013 raster digital data Data Series DS 781 Reston, VA U.S. Geological Survey See metadata ("BackscatterA_CSUMB_OffshoreCarpinteria_metadata.txt" and "BackscatterB_USGS_OffshoreCarpinteria_metadata.txt" for amplitude source data and postprocessing/reprocessing information. https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html digital file of gridded amplitude data (ArcInfo GRID) 2005 2007 ground condition backscatter Gridded amplitude data (2-meter resolution). Eleyne Phillips Guy R. Cochrane Peter Dartnell Lisa Krigsman Nadine Golden 2008 Data Series DS 781 Reston, VA U.S. Geological Survey See metadata for s1c08sc video observations ("s1c08sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information. https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html vector digital data 20080928 20081008 ground condition s1c08sc seafloor interpretations from underwater video and sediment samples Eleyne Phillips Guy R. Cochrane Peter Dartnell Lisa Krigsman Nadine Golden 2008 Data Series DS 781 Reston, VA U.S. Geological Survey See metadata for z206sc video observations ("z206sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information. https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html vector digital data 20060706 20060726 ground condition z206sc seafloor interpretations from underwater video and sediment samples The seafloor-character map was produced using video-supervised maximum likelihood classification of the bathymetry and intensity of return from sonar systems. The classification was supervised using signatures defined by hand-drawn polygons located through sediment samples and video-observation ground truth surveying, applying methodology described in Cochrane (2008). The two variants used in this classification were backscatter intensity and derivative rugosity. Rugosity measures terrain ruggedness as the variation in three-dimensional orientation of grid cells within a neighborhood. Vector analysis is used to calculate the dispersion of vectors normal (orthogonal) to grid cells within the specified neighborhood. This method effectively captures variability in slope and aspect into a single measure. Ruggedness values in the output raster map can range from 0 (no terrain variation) to 1 (complete terrain variation). The calculation was performed using the Terrain Ruggedness (VRM) tool (for details, see Sappington and others, 2007). Classes I, II, and III were delineated using multivariate analysis. Class IV (rugged anthropogenic material) and V (smooth, hard anthropogenic material) values are subclasses of seafloor class III, these pixels were depicted based on visual characteristics and known location of man-made features. The resulting map (gridded at 2 m) was cleaned by hand to remove data-collection artifacts (for example, trackline nadir). Editing was performed in Photoshop, with which individual pixels were selected and values adjusted to remove noise. Selection occurred without antialiasing, and the resulting grid was identical but for the edited pixels. The five substrate classes were then colored to indicate which of the following California Marine Life Protection Act depth zones and slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), and Slope Class 1, 0 degrees to 5 degrees (flat). Depth Zone 1 (intertidal), Depth Zones 4 and 5 (greater than 100 m), and Slopes Classes 2 to 4, greater than 5° (sloping to vertical) are not present in this map area. 201206 Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog. 20171005 U.S. Geological Survey Alan O. Allwardt Contractor -- Information Specialist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060 831-460-7551 831-427-4748 aallwardt@usgs.gov Added keywords from Coastal and Marine Ecological Classification Standard (CMECS) to metadata. 20180426 U.S. Geological Survey Alan O. Allwardt Contractor -- Information Specialist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060 831-460-7551 831-427-4748 aallwardt@usgs.gov Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. 20201019 U.S. Geological Survey VeeAnn A. Cross Marine Geologist Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543-1598 508-548-8700 x2251 508-457-2310 vatnipp@usgs.gov Metadata was modified to bring up to current USGS PCMSC standards. USGS Thesaurus and keywords were added, information for accompanying Open-File Report added to Abstract and Cross Reference sections, Point of Contact and Metadata Contact information was updated, and Process Steps were refined. Information about the data available for download and different Network Resource Name links and details were given in the Standard Order Process section. Minor typos were corrected. No data information was changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata dates to determine which metadata file is most recent. 20230317 Susan A Cochran U.S. Geological Survey, Pacific Coastal and Marine Science Center Geologist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060-5792 USA (831) 460-7545 scochran@usgs.gov Raster Pixel 7062 8943 1 WGS 1984 UTM Zone 11N 0.9996 -117.0 0.0 500000.0 0.0 coordinate pair 0.000000002220024164500956 0.000000002220024164500956 Meter D WGS 1984 WGS 1984 6378137.0 298.257223563 SeafloorCharacter_OffshoreCarpinteria.tif.vat The shapefile attributes include VALUE - code for the seafloor character classes, COUNT - number of pixels, SLOPE - slope classes, DEPTH_ZONE - depth zones, SUBSTRATE - substrate classes, SUBST_DESC - short description of substrate classes, and FULL_DESC - detailed description of substrate classes. The shapefile can be added to any ESRI ArcMap project. ESRI Rowid Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. VALUE This seafloor-character class was produced using video-supervised maximum-likelihood classification of the bathymetry and backscatter (intensity of return) signals from sonar systems. Derivative roughness (rugosity) and backscatter intensity were used as variants in the classification. The resulting five substrate classes (I to V) were divided into the Depth Zones (see Attribute: DEPTH_ZONE) by adding to the original grid value in increments of 10. Depth Zone 2, add 0 to grid value; Depth Zone 3, add 10 to grid value; Depth Zone 4, add 20 to grid value; and Depth Zone 5, add 30 to grid value. The resulting grid was further classified into Slope Classes (see Attribute: SLOPE) by adding to the classified raster values (including depth zones) in increments of 50. Slope Class 1, add 0 to grid value; Slope Class 2, add 50 to grid value; Slope Class 3, add 100 to grid value; and Slope Class 4, add 150 to grid value. ESRI 1 15 Integers 1 - 15 on the basis of classification method described in chapter 4 and on sheet 5 of SIM 3261 ("California State Waters Map Series--Offshore of Carpinteria"), available at http://pubs.usgs.gov/sim/3261/. COUNT The number of pixels (2m x 2m size grid cell) represented in each seafloor class (see Attribute: VALUE). ESRI 1072 23005459 Integers 1081 - 23005459 pixel count. SLOPE The slope zones for the final seafloor-character map grid were identified on the basis of the smoothed bathymetry grid. The smoothing was done by applying focal statistics to the original bathymetry grid. The tool uses a moving window and calculates the mean value of the central pixel within a circular neighborhood of 20 m radius along the whole raster map. The resulting raster map represents a smoothed value highlighting overall trends and eliminates local varieties in the terrain (such as higher slopes along rock outcrops). Slope class values are: 1 (0 degrees to 5 degrees), 2 (5 degrees to 30 degrees), 3 (30 degrees to 60 degrees), or 4 (60 degrees to 90 degrees). USGS 1 1 Integer value 1 representing slope class of <5 degrees as described above. DEPTH_ZONE The depth zones for the final seafloor-character map grid were identified on the basis of the smoothed bathymetry grid. The smoothing was done by applying focal statistics to the original bathymetry grid. The tool uses a moving window and calculates the mean value of the central pixel within a circular neighborhood of 20 m radius along the whole raster map. The resulting raster map represents a smoothed value highlighting overall trends and eliminates local varieties in the terrain (such as varying depths along rock outcrops). Depth Zone values are: Depth Zone 1, intertidal; Depth Zone 2, intertidal to 30 m; Depth Zone 3, 30 to 100 m; Depth Zone 4, 100 to 200 m; and Depth Zone 5, deeper than 200 m (California Department of Fish and Game, 2008). USGS 2 3 Integer values 2-3 representing slope classes as described above. SUBSTRATE Coded values of the substrate classes. Class 1, Fine- to medium-grained smooth sediment; Class 2, Mixed smooth sediment and rock; Class 3, Rock and boulder, rugose; Class 4, Rugged anthropogenic features 5. Smooth anthropogenic features USGS 1 5 Integer values 1-5 representing substrate classes as described above. SUBST_DESC Summary description of the four substrate classes coded by the attribute SUBSTRATE. Class 1, Fine- to medium-grained smooth sediment; Class 2, Mixed smooth sediment and rock; Class 3, Rock and boulder, rugose; Class 4, Rugged anthropogenic material; Class 5, Smooth anthropogenic material USGS Names are in text form, maximum length: 50 FULL_DESC Detailed description of the four substrate classes coded by the attribute SUBSTRATE. Class 1, Low backscatter, low rugosity, typically mud to medium-grained sand, often rippled and/or burrowed; Class 2, Moderate to very high backscatter, low rugosity, typically coarse-grained sand, gravel, cobble and bedrock; Class 3, High backscatter, and high rugosity, typically boulder and rugose bedrock; Class 4, High backscatter, high rugosity; related to development by humans; Class 5, High backscatter, low rugosity; related to development by humans USGS Names are in text form, maximum length: 250 United States Geological Survey (USGS) mailing and physical address

400 Natural Bridges Drive

Santa Cruz California 95060 USA (831)460-7416 The .zip file (https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data/SeafloorCharacter_OffshoreCarpinteria.zip) includes the .tfw, .tif, .tif.aux.xml, and .tif.ovr, files, as well as FGDC-compliant metadata for the Seafloor Character data layer in the Offshore of Carpinteria map area of California. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. GeoTiff ArcMap (version 10.0, ESRI, 2011) Raster data layer is registered TIFF image in the UTM Zone 10 coordinate system. The .zip file for the TIFF image includes the image (.tif), the world registration file (.tfw), and FGDC-compliant metadata. WinZip 0.7 https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data/SeafloorCharacter_OffshoreCarpinteria.zip https://pubs.usgs.gov/ds/781/OffshoreCarpinteria/data_catalog_OffshoreCarpinteria.html https://doi.org/10.3133/ds781 The first link will begin a direct download of the data. The second link is a landing page on which all of the downloadable data for a particular region are listed. The third link is a landing page for the entire data catalog. none 20230320 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time